from pySAXS.models.super.superModel import superModel
from pySAXS.LS.LSsca import Qlogspace
from pySAXS.models import *
[docs]class Beaucage(superModel):
'''
by CG
'''
Author="CG"
name="Beaucage" #name
#print name
q=Qlogspace(1e-4,0.15,500.) #q range(x scale)
modelList=[]
formula="i1+i2+i3+i4"
'''modelList.append(["GuinierModel",[135,130],"Guinier primary",q])
modelList.append(["PorodPrim",[5.6249999999999995e-06,130],"Porod of primary",q])
modelList.append(["GuinierModel",[15750.0,650.0],"Guinier of aggregate",q])
modelList.append(["Fractal",[0.0045,650.0,2.45,130],"Fractal area",q])
'''
'''modelList.append(GuinierModel(q,[135,130],"Guinier primary"))
modelList.append(PorodPrim(q,[5.6249999999999995e-06,130],"Porod of primary"))
modelList.append(GuinierModel(q,[15750.0,650.0],"Guinier of aggregate"))
modelList.append(Fractal(q,[0.0045,650.0,2.45,130],"Fractal area"))
variableDict={'i0':'data1','i1':'data2'}'''
def __init__(self):
self.modelList=[]
self.appendModel(GuinierModel(self.q,[135,130],name="Guinier primary"),'i1')
self.appendModel(PorodPrim(self.q,[5.6249999999999995e-06,130],name="Porod of primary"),'i2')
self.appendModel(GuinierModel(self.q,[15750.0,650.0],name="Guinier of aggregate"),'i3')
self.appendModel(Fractal(self.q,[0.0045,650.0,2.45,130],name="Fractal area"),'i4')